Advanced SearchSearch Tips
A Multi-sensor basedVery Short-term Rainfall Forecasting using Radar and Satellite Data - A Case Study of the Busan and Gyeongnam Extreme Rainfall in August, 2014-
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
  • Journal title : Korean Journal of Remote Sensing
  • Volume 32, Issue 2,  2016, pp.155-169
  • Publisher : The Korean Society of Remote Sensing
  • DOI : 10.7780/kjrs.2016.32.2.8
 Title & Authors
A Multi-sensor basedVery Short-term Rainfall Forecasting using Radar and Satellite Data - A Case Study of the Busan and Gyeongnam Extreme Rainfall in August, 2014-
Jang, Sangmin; Park, Kyungwon; Yoon, Sunkwon;
  PDF(new window)
In this study, we developed a multi-sensor blending short-term rainfall forecasting technique using radar and satellite data during extreme rainfall occurrences in Busan and Gyeongnam region in August 2014. The Tropical Z-R relationship ($Z
Weather Radar;COMS;Extreme Rainfall;Multi-Sensor Blending;
 Cited by
Atlas, D., C. Ulbrich, F.D. Jr. Marks, E. Amitai, and C.R. Williams 1999. Systematic variation of drop size and radar-rainfall relations, Journal of Geophysical Research, 104: 6155-6169. crossref(new window)

Blanchard, D.C. 1953. Raindrop size distribution in Hawaiian rains, Journal of Meteorology, 10: 457-473. crossref(new window)

Calheiros, R.V. and I. Zawadzk 1987. Reflectivity-rain rate relationships for radar hydrology in Brazil, Journal of Climate Applied Meteorology, 26: 118-132. crossref(new window)

Chandrasekhar, V. and R. Cifelli 2012. Concepts and principles of rainfall estimation from radar: Multi sensor environment and data fusion, Indian Journal of Radio and Space Physics, 41: 389-402.

Fulton, R. A., Breidenbach, J. P., Seo, D. J., Miller, D. A., and O'Bannon, T. (1998). The WSR-88D rainfall algorithm, Weather and Forecasting, 13(2): 377-395. crossref(new window)

Germann, U. and I. Zawadzki, 2002. Scale-Dependence of the Predictability of Precipitation from Continental Radar Images. Part I: Description of the Methodology, Monthly Weather Review, 130(12): 2859-2873. crossref(new window)

Gochis, D., R. Schumacher, K. Friedrich, N. Doesken, M. Kelsch, J. 4 Sun, K. Ikeda, D.T. Lindsey, A. Wood, B. Dolan, S. Matrosov, A. Newman, K. Mahoney, S. Rutledge, R. Johnson, P. Kucera, P. Kennedy, D. Sempere-Torres, M. Steiner, R. Roberts, J. Wilson, W. Yu, V. Chandrasekar, R. Rasmussen, A. Anderson, B. Brown 2015. The great Colorado flood of September 2013, Bulletin of the American Meteorological Society, 96(9): 1461-1487. crossref(new window)

Gourley, J.J. and R.A. Maddox 2002. An exploratory multisensor technique for quantitative estimation of stratiform rainfall, Journal of Hydrolometeorology, 3: 166-180. crossref(new window)

Jones, D.M.A. 1956. Rainfall drop size distribution and radar reflectivity, Research Report, No. 6, U.S. Army Contract DA-36-039 SC-64723, Illinois State Water Survey, Urbanba, Vol. 20, pp. 1-20.

Kim J.P., S.K. Yoon, G.S. Kim, and Y.I. Moon 2015. Application of very short-term rainfall forecasting to using water simulation using TREC method, Journal of Korea Water Resources Association, 48(5): 409-423. (Korean with English abstract) crossref(new window)

Kitzmiller, D., D. Miller, R. Fulton, and R. Ding 2013. Radar and multisensor precipitation estimation techniques in National Weather Service hydrologic operations, Journal of Hydrologic Engineering, 18(2): 133-142. crossref(new window)

Marshall, J.S., and W.M.K. Palmer 1948. The distribution of raindrops with size, Journal of Meteorology, 5(4): 165-166. crossref(new window)

Ng, C.W., and H. Y. Yeung 2013. Development of Radar-Satellite Blended QPE Technique and Application to Rainfall Nowcasting, Proc. of 27th Guangdong-Hong Kong-Macao Seminar, Reprint 1058, pp. 1-20.

NMSC (National Meteorological Satellite Center), (2016)., Accessed Jan. 2016.

NIMS (National Institute of Meteorological Sciences)(2003). Application of the Z-R relationshiprespect with the Type of prediction using radar of Jindo, National Institute of MeteorologicalSciences in Gwangju, KMA [C1-7], pp. 1-83.(in Korean)

Park, K.W. 2015. Regional Impacts of Hydrometeorological variability by extreme climate pattern changes and its heavy rainfall short-term forecast system over the Korean Peninsula. APCC Research Report, 2015-15, pp.1-86. (Korean with English abstract)

Rinehart, R.E. and T. Garvey 1978. Three dimensional storm motion detection by conventional weather radar, Nature, 273: 287-289. crossref(new window)

Steiner, M., and R.A. Houze Jr., 1993. Three-dimensional validation at TRMM ground truthsites: some early results from Darwin, Australia, Proc. of 26th International Conference on Radar Meteorology, Norman, OK, May. 24-28,pp. 447-450.

Vasiloff, S.V., D.J. Seo, K.W. Howard, J. Zhang, D.H.Kitzmiller, M.G. Mullusky, W. F. Krajewski,E.A. Brandes, R.M. Rabin, D Berkowitz, H.E. Brooks, J.A. McGinley, R.J. Kuligowski, and B.G. Brown (2007). Improving QPE and very short term QPF. Bulletin of the American Meteorological Society, 88(12): 1899-1911. crossref(new window)

Wetchayont, P., T. Hayasaka, T. Satomura, S. Katagiri,and S. Baimoung 2013. Retrieval of rainfall by combining rain gauge, ground-based radar and satellite measurements over Phimai, Thailand, Scientific Online Letters on the Atmosphere, 9:166-169.

Yoon, S.K., and Moon, Y.I. 2014. The Recent Increasing Trends of Exceedance Rainfall Thresholds Over the Korean Major Cities, Journal of the Korean Society of Civil Engineers,34(1): 117-133. (Korean with English abstract) crossref(new window)

Zhang, J. and Y. Qi 2010. A real-time algorithm for the correction of bright band effects in radar-derived precipitation estimation, Journal ofHydrometeorology, 11: 1157-1171. crossref(new window)

Zhang, J., K. Howard, and co-authors 2011. National Mosaic and multi-sensor QPE (NMQ) system: description, results and future plans, Bulletin of the American Meteorological Society, 92: 1321-1338. crossref(new window)